Overview

Brought to you by YData

Dataset statistics

Number of variables	27
Number of observations	1200
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	791.0 KiB
Average record size in memory	675.0 B

Variable types

Numeric	11
Categorical	14
Boolean	2

Alerts

`Age` is highly overall correlated with `TotalWorkExperienceInYears`	High correlation
`EmpDepartment` is highly overall correlated with `EmpJobRole`	High correlation
`EmpJobLevel` is highly overall correlated with `TotalWorkExperienceInYears`	High correlation
`EmpJobRole` is highly overall correlated with `EmpDepartment`	High correlation
`ExperienceYearsAtThisCompany` is highly overall correlated with `ExperienceYearsInCurrentRole` and 3 other fields	High correlation
`ExperienceYearsInCurrentRole` is highly overall correlated with `ExperienceYearsAtThisCompany` and 2 other fields	High correlation
`TotalWorkExperienceInYears` is highly overall correlated with `Age` and 2 other fields	High correlation
`YearsSinceLastPromotion` is highly overall correlated with `ExperienceYearsAtThisCompany` and 1 other fields	High correlation
`YearsWithCurrManager` is highly overall correlated with `ExperienceYearsAtThisCompany` and 1 other fields	High correlation
`NumCompaniesWorked` has 156 (13.0%) zeros	Zeros
`TrainingTimesLastYear` has 44 (3.7%) zeros	Zeros
`ExperienceYearsAtThisCompany` has 36 (3.0%) zeros	Zeros
`ExperienceYearsInCurrentRole` has 190 (15.8%) zeros	Zeros
`YearsSinceLastPromotion` has 469 (39.1%) zeros	Zeros
`YearsWithCurrManager` has 215 (17.9%) zeros	Zeros

Reproduction

Analysis started	2025-03-19 12:58:56.726490
Analysis finished	2025-03-19 12:59:26.450690
Duration	29.72 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

Age
Real number (ℝ)

High correlation

Distinct	43
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.918333

Minimum	18
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	18
5-th percentile	24
Q1	30
median	36
Q3	43
95-th percentile	54
Maximum	60
Range	42
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.0872885
Coefficient of variation (CV)	0.24614569
Kurtosis	-0.43099958
Mean	36.918333
Median Absolute Deviation (MAD)	6
Skewness	0.38414496
Sum	44302
Variance	82.578813
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
34	71	5.9%
35	64	5.3%
36	60	5.0%
31	57	4.8%
29	51	4.2%
38	48	4.0%
32	46	3.8%
40	46	3.8%
33	46	3.8%
27	43	3.6%
Other values (33)	668	55.7%

Value	Count	Frequency (%)
18	8	0.7%
19	8	0.7%
20	6	0.5%
21	11	0.9%
22	15	1.2%
23	9	0.8%
24	20	1.7%
25	24	2.0%
26	33	2.8%
27	43	3.6%

Value	Count	Frequency (%)
60	3	0.2%
59	6	0.5%
58	11	0.9%
57	4	0.3%
56	11	0.9%
55	17	1.4%
54	16	1.3%
53	15	1.2%
52	15	1.2%
51	14	1.2%

Gender
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	72.5 KiB

Male	725
Female	475

Length

Max length	6
Median length	4
Mean length	4.7916667
Min length	4

Characters and Unicode

Total characters	5750
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	725	60.4%
Female	475	39.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	725	60.4%
female	475	39.6%

Most occurring characters

Value	Count	Frequency (%)
e	1675	29.1%
a	1200	20.9%
l	1200	20.9%
M	725	12.6%
F	475	8.3%
m	475	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5750	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1675	29.1%
a	1200	20.9%
l	1200	20.9%
M	725	12.6%
F	475	8.3%
m	475	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5750	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1675	29.1%
a	1200	20.9%
l	1200	20.9%
M	725	12.6%
F	475	8.3%
m	475	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5750	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1675	29.1%
a	1200	20.9%
l	1200	20.9%
M	725	12.6%
F	475	8.3%
m	475	8.3%

EducationBackground
Categorical

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Life Sciences	492
Medical	384
Marketing	137
Technical Degree	100
Other	66

Length

Max length	16
Median length	15
Mean length	10.468333
Min length	5

Characters and Unicode

Total characters	12562
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Marketing
2nd row	Marketing
3rd row	Life Sciences
4th row	Human Resources
5th row	Marketing

Common Values

Value	Count	Frequency (%)
Life Sciences	492	41.0%
Medical	384	32.0%
Marketing	137	11.4%
Technical Degree	100	8.3%
Other	66	5.5%
Human Resources	21	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
life	492	27.1%
sciences	492	27.1%
medical	384	21.2%
marketing	137	7.6%
technical	100	5.5%
degree	100	5.5%
other	66	3.6%
human	21	1.2%
resources	21	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	2505	19.9%
i	1605	12.8%
c	1589	12.6%
n	750	6.0%
a	642	5.1%
	613	4.9%
s	534	4.3%
M	521	4.1%
L	492	3.9%
f	492	3.9%
Other values (16)	2819	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12562	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2505	19.9%
i	1605	12.8%
c	1589	12.6%
n	750	6.0%
a	642	5.1%
	613	4.9%
s	534	4.3%
M	521	4.1%
L	492	3.9%
f	492	3.9%
Other values (16)	2819	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12562	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2505	19.9%
i	1605	12.8%
c	1589	12.6%
n	750	6.0%
a	642	5.1%
	613	4.9%
s	534	4.3%
M	521	4.1%
L	492	3.9%
f	492	3.9%
Other values (16)	2819	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12562	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2505	19.9%
i	1605	12.8%
c	1589	12.6%
n	750	6.0%
a	642	5.1%
	613	4.9%
s	534	4.3%
M	521	4.1%
L	492	3.9%
f	492	3.9%
Other values (16)	2819	22.4%

MaritalStatus
Categorical

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	75.0 KiB

Married	548
Single	384
Divorced	268

Length

Max length	8
Median length	7
Mean length	6.9033333
Min length	6

Characters and Unicode

Total characters	8284
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single
2nd row	Single
3rd row	Married
4th row	Divorced
5th row	Single

Common Values

Value	Count	Frequency (%)
Married	548	45.7%
Single	384	32.0%
Divorced	268	22.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	548	45.7%
single	384	32.0%
divorced	268	22.3%

Most occurring characters

Value	Count	Frequency (%)
r	1364	16.5%
i	1200	14.5%
e	1200	14.5%
d	816	9.9%
M	548	6.6%
a	548	6.6%
S	384	4.6%
n	384	4.6%
g	384	4.6%
l	384	4.6%
Other values (4)	1072	12.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8284	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	1364	16.5%
i	1200	14.5%
e	1200	14.5%
d	816	9.9%
M	548	6.6%
a	548	6.6%
S	384	4.6%
n	384	4.6%
g	384	4.6%
l	384	4.6%
Other values (4)	1072	12.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8284	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	1364	16.5%
i	1200	14.5%
e	1200	14.5%
d	816	9.9%
M	548	6.6%
a	548	6.6%
S	384	4.6%
n	384	4.6%
g	384	4.6%
l	384	4.6%
Other values (4)	1072	12.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8284	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	1364	16.5%
i	1200	14.5%
e	1200	14.5%
d	816	9.9%
M	548	6.6%
a	548	6.6%
S	384	4.6%
n	384	4.6%
g	384	4.6%
l	384	4.6%
Other values (4)	1072	12.9%

EmpDepartment
Categorical

High correlation

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	81.4 KiB

Sales	373
Development	361
Research & Development	343
Human Resources	54
Finance	49

Length

Max length	22
Median length	15
Mean length	12.3125
Min length	5

Characters and Unicode

Total characters	14775
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales
2nd row	Sales
3rd row	Sales
4th row	Human Resources
5th row	Sales

Common Values

Value	Count	Frequency (%)
Sales	373	31.1%
Development	361	30.1%
Research & Development	343	28.6%
Human Resources	54	4.5%
Finance	49	4.1%
Data Science	20	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
development	704	35.9%
sales	373	19.0%
research	343	17.5%
	343	17.5%
human	54	2.8%
resources	54	2.8%
finance	49	2.5%
data	20	1.0%
science	20	1.0%

Most occurring characters

Value	Count	Frequency (%)
e	3368	22.8%
l	1077	7.3%
n	876	5.9%
a	859	5.8%
s	824	5.6%
	760	5.1%
o	758	5.1%
m	758	5.1%
t	724	4.9%
D	724	4.9%
Other values (12)	4047	27.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14775	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3368	22.8%
l	1077	7.3%
n	876	5.9%
a	859	5.8%
s	824	5.6%
	760	5.1%
o	758	5.1%
m	758	5.1%
t	724	4.9%
D	724	4.9%
Other values (12)	4047	27.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14775	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3368	22.8%
l	1077	7.3%
n	876	5.9%
a	859	5.8%
s	824	5.6%
	760	5.1%
o	758	5.1%
m	758	5.1%
t	724	4.9%
D	724	4.9%
Other values (12)	4047	27.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14775	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3368	22.8%
l	1077	7.3%
n	876	5.9%
a	859	5.8%
s	824	5.6%
	760	5.1%
o	758	5.1%
m	758	5.1%
t	724	4.9%
D	724	4.9%
Other values (12)	4047	27.4%

EmpJobRole
Categorical

High correlation

Distinct	19
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	84.0 KiB

Sales Executive	270
Developer	236
Manager R&D	94
Research Scientist	77
Sales Representative	69
Other values (14)	454

Length

Max length	25
Median length	21.5
Mean length	14.545
Min length	7

Characters and Unicode

Total characters	17454
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales Executive
2nd row	Sales Executive
3rd row	Sales Executive
4th row	Manager
5th row	Sales Executive

Common Values

Value	Count	Frequency (%)
Sales Executive	270	22.5%
Developer	236	19.7%
Manager R&D	94	7.8%
Research Scientist	77	6.4%
Sales Representative	69	5.8%
Laboratory Technician	64	5.3%
Senior Developer	52	4.3%
Manager	51	4.2%
Finance Manager	49	4.1%
Human Resources	45	3.8%
Other values (9)	193	16.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sales	339	15.9%
developer	288	13.5%
executive	270	12.7%
manager	221	10.4%
r&d	109	5.1%
representative	102	4.8%
scientist	97	4.6%
research	96	4.5%
senior	67	3.1%
laboratory	64	3.0%
Other values (14)	475	22.3%

Most occurring characters

Value	Count	Frequency (%)
e	3179	18.2%
a	1536	8.8%
r	1136	6.5%
i	975	5.6%
	928	5.3%
c	907	5.2%
n	901	5.2%
t	900	5.2%
s	788	4.5%
l	733	4.2%
Other values (24)	5471	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17454	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3179	18.2%
a	1536	8.8%
r	1136	6.5%
i	975	5.6%
	928	5.3%
c	907	5.2%
n	901	5.2%
t	900	5.2%
s	788	4.5%
l	733	4.2%
Other values (24)	5471	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17454	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3179	18.2%
a	1536	8.8%
r	1136	6.5%
i	975	5.6%
	928	5.3%
c	907	5.2%
n	901	5.2%
t	900	5.2%
s	788	4.5%
l	733	4.2%
Other values (24)	5471	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17454	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3179	18.2%
a	1536	8.8%
r	1136	6.5%
i	975	5.6%
	928	5.3%
c	907	5.2%
n	901	5.2%
t	900	5.2%
s	788	4.5%
l	733	4.2%
Other values (24)	5471	31.3%

BusinessTravelFrequency
Categorical

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	82.6 KiB

Travel_Rarely	846
Travel_Frequently	222
Non-Travel	132

Length

Max length	17
Median length	13
Mean length	13.41
Min length	10

Characters and Unicode

Total characters	16092
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Travel_Rarely
2nd row	Travel_Rarely
3rd row	Travel_Frequently
4th row	Travel_Rarely
5th row	Travel_Rarely

Common Values

Value	Count	Frequency (%)
Travel_Rarely	846	70.5%
Travel_Frequently	222	18.5%
Non-Travel	132	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
travel_rarely	846	70.5%
travel_frequently	222	18.5%
non-travel	132	11.0%

Most occurring characters

Value	Count	Frequency (%)
e	2490	15.5%
r	2268	14.1%
l	2268	14.1%
a	2046	12.7%
T	1200	7.5%
v	1200	7.5%
y	1068	6.6%
_	1068	6.6%
R	846	5.3%
n	354	2.2%
Other values (7)	1284	8.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16092	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2490	15.5%
r	2268	14.1%
l	2268	14.1%
a	2046	12.7%
T	1200	7.5%
v	1200	7.5%
y	1068	6.6%
_	1068	6.6%
R	846	5.3%
n	354	2.2%
Other values (7)	1284	8.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16092	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2490	15.5%
r	2268	14.1%
l	2268	14.1%
a	2046	12.7%
T	1200	7.5%
v	1200	7.5%
y	1068	6.6%
_	1068	6.6%
R	846	5.3%
n	354	2.2%
Other values (7)	1284	8.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16092	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2490	15.5%
r	2268	14.1%
l	2268	14.1%
a	2046	12.7%
T	1200	7.5%
v	1200	7.5%
y	1068	6.6%
_	1068	6.6%
R	846	5.3%
n	354	2.2%
Other values (7)	1284	8.0%

DistanceFromHome
Real number (ℝ)

Distinct	29
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.1658333

Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	7
Q3	14
95-th percentile	26
Maximum	29
Range	28
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.1766363
Coefficient of variation (CV)	0.89207778
Kurtosis	-0.24201678
Mean	9.1658333
Median Absolute Deviation (MAD)	5
Skewness	0.96295612
Sum	10999
Variance	66.85738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
2	184	15.3%
1	170	14.2%
8	69	5.8%
3	67	5.6%
10	66	5.5%
9	66	5.5%
7	65	5.4%
5	54	4.5%
4	51	4.2%
6	46	3.8%
Other values (19)	362	30.2%

Value	Count	Frequency (%)
1	170	14.2%
2	184	15.3%
3	67	5.6%
4	51	4.2%
5	54	4.5%
6	46	3.8%
7	65	5.4%
8	69	5.8%
9	66	5.5%
10	66	5.5%

Value	Count	Frequency (%)
29	23	1.9%
28	20	1.7%
27	9	0.8%
26	22	1.8%
25	19	1.6%
24	23	1.9%
23	22	1.8%
22	17	1.4%
21	15	1.2%
20	19	1.6%

EmpEducationLevel
Categorical

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

3	449
4	322
2	239
1	148
5	42

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
3	449	37.4%
4	322	26.8%
2	239	19.9%
1	148	12.3%
5	42	3.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	449	37.4%
4	322	26.8%
2	239	19.9%
1	148	12.3%
5	42	3.5%

Most occurring characters

Value	Count	Frequency (%)
3	449	37.4%
4	322	26.8%
2	239	19.9%
1	148	12.3%
5	42	3.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	449	37.4%
4	322	26.8%
2	239	19.9%
1	148	12.3%
5	42	3.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	449	37.4%
4	322	26.8%
2	239	19.9%
1	148	12.3%
5	42	3.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	449	37.4%
4	322	26.8%
2	239	19.9%
1	148	12.3%
5	42	3.5%

EmpEnvironmentSatisfaction
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

3	367
4	361
2	242
1	230

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
3	367	30.6%
4	361	30.1%
2	242	20.2%
1	230	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	367	30.6%
4	361	30.1%
2	242	20.2%
1	230	19.2%

Most occurring characters

Value	Count	Frequency (%)
3	367	30.6%
4	361	30.1%
2	242	20.2%
1	230	19.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	367	30.6%
4	361	30.1%
2	242	20.2%
1	230	19.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	367	30.6%
4	361	30.1%
2	242	20.2%
1	230	19.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	367	30.6%
4	361	30.1%
2	242	20.2%
1	230	19.2%

EmpHourlyRate
Real number (ℝ)

Distinct	71
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.981667

Minimum	30
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	30
5-th percentile	33
Q1	48
median	66
Q3	83
95-th percentile	97
Maximum	100
Range	70
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	20.211302
Coefficient of variation (CV)	0.30631694
Kurtosis	-1.1868905
Mean	65.981667
Median Absolute Deviation (MAD)	18
Skewness	-0.035164888
Sum	79178
Variance	408.49674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	25	2.1%
79	25	2.1%
42	24	2.0%
57	23	1.9%
46	23	1.9%
92	22	1.8%
72	22	1.8%
45	22	1.8%
96	22	1.8%
94	21	1.8%
Other values (61)	971	80.9%

Value	Count	Frequency (%)
30	13	1.1%
31	13	1.1%
32	19	1.6%
33	16	1.3%
34	6	0.5%
35	14	1.2%
36	17	1.4%
37	13	1.1%
38	10	0.8%
39	14	1.2%

Value	Count	Frequency (%)
100	14	1.2%
99	19	1.6%
98	20	1.7%
97	18	1.5%
96	22	1.8%
95	17	1.4%
94	21	1.8%
93	13	1.1%
92	22	1.8%
91	14	1.2%

EmpJobInvolvement
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

3	724
2	294
4	112
1	70

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3	724	60.3%
2	294	24.5%
4	112	9.3%
1	70	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	724	60.3%
2	294	24.5%
4	112	9.3%
1	70	5.8%

Most occurring characters

Value	Count	Frequency (%)
3	724	60.3%
2	294	24.5%
4	112	9.3%
1	70	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	724	60.3%
2	294	24.5%
4	112	9.3%
1	70	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	724	60.3%
2	294	24.5%
4	112	9.3%
1	70	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	724	60.3%
2	294	24.5%
4	112	9.3%
1	70	5.8%

EmpJobLevel
Categorical

High correlation

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

2	441
1	440
3	173
4	90
5	56

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	3
4th row	5
5th row	2

Common Values

Value	Count	Frequency (%)
2	441	36.8%
1	440	36.7%
3	173	14.4%
4	90	7.5%
5	56	4.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	441	36.8%
1	440	36.7%
3	173	14.4%
4	90	7.5%
5	56	4.7%

Most occurring characters

Value	Count	Frequency (%)
2	441	36.8%
1	440	36.7%
3	173	14.4%
4	90	7.5%
5	56	4.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	441	36.8%
1	440	36.7%
3	173	14.4%
4	90	7.5%
5	56	4.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	441	36.8%
1	440	36.7%
3	173	14.4%
4	90	7.5%
5	56	4.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	441	36.8%
1	440	36.7%
3	173	14.4%
4	90	7.5%
5	56	4.7%

EmpJobSatisfaction
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

4	378
3	354
2	237
1	231

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	1
3rd row	1
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
4	378	31.5%
3	354	29.5%
2	237	19.8%
1	231	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	378	31.5%
3	354	29.5%
2	237	19.8%
1	231	19.2%

Most occurring characters

Value	Count	Frequency (%)
4	378	31.5%
3	354	29.5%
2	237	19.8%
1	231	19.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	378	31.5%
3	354	29.5%
2	237	19.8%
1	231	19.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	378	31.5%
3	354	29.5%
2	237	19.8%
1	231	19.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	378	31.5%
3	354	29.5%
2	237	19.8%
1	231	19.2%

NumCompaniesWorked
Real number (ℝ)

Zeros

Distinct	10
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.665

Minimum	0
Maximum	9
Zeros	156
Zeros (%)	13.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.4693838
Coefficient of variation (CV)	0.92659806
Kurtosis	0.068862995
Mean	2.665
Median Absolute Deviation (MAD)	1
Skewness	1.0486348
Sum	3198
Variance	6.0978565
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	433	36.1%
0	156	13.0%
3	133	11.1%
2	123	10.2%
4	107	8.9%
7	60	5.0%
6	56	4.7%
5	53	4.4%
8	40	3.3%
9	39	3.2%

Value	Count	Frequency (%)
0	156	13.0%
1	433	36.1%
2	123	10.2%
3	133	11.1%
4	107	8.9%
5	53	4.4%
6	56	4.7%
7	60	5.0%
8	40	3.3%
9	39	3.2%

Value	Count	Frequency (%)
9	39	3.2%
8	40	3.3%
7	60	5.0%
6	56	4.7%
5	53	4.4%
4	107	8.9%
3	133	11.1%
2	123	10.2%
1	433	36.1%
0	156	13.0%

OverTime
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

False	847
True	353

Value	Count	Frequency (%)
False	847	70.6%
True	353	29.4%

EmpLastSalaryHikePercent
Real number (ℝ)

Distinct	15
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.2225

Minimum	11
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	11
5-th percentile	11
Q1	12
median	14
Q3	18
95-th percentile	22
Maximum	25
Range	14
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.6259182
Coefficient of variation (CV)	0.23819466
Kurtosis	-0.29974078
Mean	15.2225
Median Absolute Deviation (MAD)	2
Skewness	0.80865363
Sum	18267
Variance	13.147283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
14	172	14.3%
11	169	14.1%
13	168	14.0%
12	155	12.9%
15	82	6.8%
18	73	6.1%
16	68	5.7%
17	67	5.6%
19	63	5.2%
20	50	4.2%
Other values (5)	133	11.1%

Value	Count	Frequency (%)
11	169	14.1%
12	155	12.9%
13	168	14.0%
14	172	14.3%
15	82	6.8%
16	68	5.7%
17	67	5.6%
18	73	6.1%
19	63	5.2%
20	50	4.2%

Value	Count	Frequency (%)
25	13	1.1%
24	18	1.5%
23	21	1.8%
22	47	3.9%
21	34	2.8%
20	50	4.2%
19	63	5.2%
18	73	6.1%
17	67	5.6%
16	68	5.7%

EmpRelationshipSatisfaction
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

3	379
4	355
2	247
1	219

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	3
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
3	379	31.6%
4	355	29.6%
2	247	20.6%
1	219	18.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	379	31.6%
4	355	29.6%
2	247	20.6%
1	219	18.2%

Most occurring characters

Value	Count	Frequency (%)
3	379	31.6%
4	355	29.6%
2	247	20.6%
1	219	18.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	379	31.6%
4	355	29.6%
2	247	20.6%
1	219	18.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	379	31.6%
4	355	29.6%
2	247	20.6%
1	219	18.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	379	31.6%
4	355	29.6%
2	247	20.6%
1	219	18.2%

TotalWorkExperienceInYears
Real number (ℝ)

High correlation

Distinct	40
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.33

Minimum	0
Maximum	40
Zeros	10
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	10
Q3	15
95-th percentile	28
Maximum	40
Range	40
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.797228
Coefficient of variation (CV)	0.68819311
Kurtosis	0.80563333
Mean	11.33
Median Absolute Deviation (MAD)	4
Skewness	1.0868619
Sum	13596
Variance	60.796764
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
10	159	13.2%
6	105	8.8%
8	85	7.1%
9	77	6.4%
5	71	5.9%
1	65	5.4%
7	61	5.1%
4	51	4.2%
12	37	3.1%
15	34	2.8%
Other values (30)	455	37.9%

Value	Count	Frequency (%)
0	10	0.8%
1	65	5.4%
2	26	2.2%
3	34	2.8%
4	51	4.2%
5	71	5.9%
6	105	8.8%
7	61	5.1%
8	85	7.1%
9	77	6.4%

Value	Count	Frequency (%)
40	1	0.1%
38	1	0.1%
37	3	0.2%
36	4	0.3%
35	2	0.2%
34	5	0.4%
33	7	0.6%
32	8	0.7%
31	7	0.6%
30	5	0.4%

TrainingTimesLastYear
Real number (ℝ)

Zeros

Distinct	7
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7858333

Minimum	0
Maximum	6
Zeros	44
Zeros (%)	3.7%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.2634462
Coefficient of variation (CV)	0.4535254
Kurtosis	0.56753103
Mean	2.7858333
Median Absolute Deviation (MAD)	1
Skewness	0.5320732
Sum	3343
Variance	1.5962962
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	445	37.1%
3	413	34.4%
4	98	8.2%
5	98	8.2%
1	56	4.7%
6	46	3.8%
0	44	3.7%

Value	Count	Frequency (%)
0	44	3.7%
1	56	4.7%
2	445	37.1%
3	413	34.4%
4	98	8.2%
5	98	8.2%
6	46	3.8%

Value	Count	Frequency (%)
6	46	3.8%
5	98	8.2%
4	98	8.2%
3	413	34.4%
2	445	37.1%
1	56	4.7%
0	44	3.7%

EmpWorkLifeBalance
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

3	727
2	294
4	115
1	64

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	3
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3	727	60.6%
2	294	24.5%
4	115	9.6%
1	64	5.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	727	60.6%
2	294	24.5%
4	115	9.6%
1	64	5.3%

Most occurring characters

Value	Count	Frequency (%)
3	727	60.6%
2	294	24.5%
4	115	9.6%
1	64	5.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	727	60.6%
2	294	24.5%
4	115	9.6%
1	64	5.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	727	60.6%
2	294	24.5%
4	115	9.6%
1	64	5.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	727	60.6%
2	294	24.5%
4	115	9.6%
1	64	5.3%

ExperienceYearsAtThisCompany
Real number (ℝ)

High correlation Zeros

Distinct	37
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0775

Minimum	0
Maximum	40
Zeros	36
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	10
95-th percentile	20
Maximum	40
Range	40
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.236899
Coefficient of variation (CV)	0.88122911
Kurtosis	4.0579594
Mean	7.0775
Median Absolute Deviation (MAD)	3
Skewness	1.789055
Sum	8493
Variance	38.89891
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
5	152	12.7%
1	138	11.5%
2	107	8.9%
3	105	8.8%
10	100	8.3%
4	88	7.3%
7	73	6.1%
6	66	5.5%
9	66	5.5%
8	63	5.2%
Other values (27)	242	20.2%

Value	Count	Frequency (%)
0	36	3.0%
1	138	11.5%
2	107	8.9%
3	105	8.8%
4	88	7.3%
5	152	12.7%
6	66	5.5%
7	73	6.1%
8	63	5.2%
9	66	5.5%

Value	Count	Frequency (%)
40	1	0.1%
37	1	0.1%
36	2	0.2%
34	1	0.1%
33	5	0.4%
32	3	0.2%
31	2	0.2%
30	1	0.1%
29	2	0.2%
27	2	0.2%

ExperienceYearsInCurrentRole
Real number (ℝ)

High correlation Zeros

Distinct	19
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2916667

Minimum	0
Maximum	18
Zeros	190
Zeros (%)	15.8%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	11
Maximum	18
Range	18
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.6137441
Coefficient of variation (CV)	0.84203746
Kurtosis	0.43802869
Mean	4.2916667
Median Absolute Deviation (MAD)	3
Skewness	0.88815867
Sum	5150
Variance	13.059147
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2	303	25.2%
0	190	15.8%
7	176	14.7%
3	107	8.9%
4	92	7.7%
8	78	6.5%
9	63	5.2%
1	46	3.8%
6	30	2.5%
5	29	2.4%
Other values (9)	86	7.2%

Value	Count	Frequency (%)
0	190	15.8%
1	46	3.8%
2	303	25.2%
3	107	8.9%
4	92	7.7%
5	29	2.4%
6	30	2.5%
7	176	14.7%
8	78	6.5%
9	63	5.2%

Value	Count	Frequency (%)
18	2	0.2%
17	3	0.2%
16	7	0.6%
15	4	0.3%
14	10	0.8%
13	10	0.8%
12	7	0.6%
11	18	1.5%
10	25	2.1%
9	63	5.2%

YearsSinceLastPromotion
Real number (ℝ)

High correlation Zeros

Distinct	16
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1941667

Minimum	0
Maximum	15
Zeros	469
Zeros (%)	39.1%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	10
Maximum	15
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.2215599
Coefficient of variation (CV)	1.4682385
Kurtosis	3.5390801
Mean	2.1941667
Median Absolute Deviation (MAD)	1
Skewness	1.9749316
Sum	2633
Variance	10.378448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	469	39.1%
1	297	24.8%
2	127	10.6%
7	62	5.2%
4	53	4.4%
3	45	3.8%
5	35	2.9%
6	24	2.0%
11	23	1.9%
9	16	1.3%
Other values (6)	49	4.1%

Value	Count	Frequency (%)
0	469	39.1%
1	297	24.8%
2	127	10.6%
3	45	3.8%
4	53	4.4%
5	35	2.9%
6	24	2.0%
7	62	5.2%
8	11	0.9%
9	16	1.3%

Value	Count	Frequency (%)
15	11	0.9%
14	5	0.4%
13	8	0.7%
12	9	0.8%
11	23	1.9%
10	5	0.4%
9	16	1.3%
8	11	0.9%
7	62	5.2%
6	24	2.0%

YearsWithCurrManager
Real number (ℝ)

High correlation Zeros

Distinct	18
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.105

Minimum	0
Maximum	17
Zeros	215
Zeros (%)	17.9%
Negative	0
Negative (%)	0.0%
Memory size	9.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	10
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.541576
Coefficient of variation (CV)	0.8627469
Kurtosis	0.14820164
Mean	4.105
Median Absolute Deviation (MAD)	3
Skewness	0.8131583
Sum	4926
Variance	12.542761
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2	281	23.4%
0	215	17.9%
7	176	14.7%
3	103	8.6%
8	87	7.2%
4	85	7.1%
1	67	5.6%
9	53	4.4%
6	28	2.3%
5	26	2.2%
Other values (8)	79	6.6%

Value	Count	Frequency (%)
0	215	17.9%
1	67	5.6%
2	281	23.4%
3	103	8.6%
4	85	7.1%
5	26	2.2%
6	28	2.3%
7	176	14.7%
8	87	7.2%
9	53	4.4%

Value	Count	Frequency (%)
17	6	0.5%
16	2	0.2%
15	3	0.2%
14	2	0.2%
13	10	0.8%
12	14	1.2%
11	20	1.7%
10	22	1.8%
9	53	4.4%
8	87	7.2%

Attrition
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

False	1022
True	178

Value	Count	Frequency (%)
False	1022	85.2%
True	178	14.8%

PerformanceRating
Categorical

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	68.1 KiB

3	874
2	194
4	132

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1200
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	4
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	874	72.8%
2	194	16.2%
4	132	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	874	72.8%
2	194	16.2%
4	132	11.0%

Most occurring characters

Value	Count	Frequency (%)
3	874	72.8%
2	194	16.2%
4	132	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	874	72.8%
2	194	16.2%
4	132	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	874	72.8%
2	194	16.2%
4	132	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	874	72.8%
2	194	16.2%
4	132	11.0%

Interactions

Correlations

	Age	Attrition	BusinessTravelFrequency	DistanceFromHome	EducationBackground	EmpDepartment	EmpEducationLevel	EmpEnvironmentSatisfaction	EmpHourlyRate	EmpJobInvolvement	EmpJobLevel	EmpJobRole	EmpJobSatisfaction	EmpLastSalaryHikePercent	EmpRelationshipSatisfaction	EmpWorkLifeBalance	ExperienceYearsAtThisCompany	ExperienceYearsInCurrentRole	Gender	MaritalStatus	NumCompaniesWorked	OverTime	PerformanceRating	TotalWorkExperienceInYears	TrainingTimesLastYear	YearsSinceLastPromotion	YearsWithCurrManager
Age	1.000	0.258	0.047	-0.003	0.000	0.000	0.153	0.062	0.061	0.000	0.295	0.129	0.000	0.001	0.000	0.046	0.254	0.203	0.000	0.133	0.342	0.000	0.000	0.652	0.001	0.187	0.196
Attrition	0.258	1.000	0.124	0.051	0.102	0.059	0.000	0.131	0.038	0.150	0.217	0.163	0.081	0.000	0.000	0.079	0.184	0.180	0.017	0.182	0.110	0.220	0.022	0.230	0.032	0.045	0.179
BusinessTravelFrequency	0.047	0.124	1.000	0.050	0.000	0.000	0.000	0.000	0.000	0.040	0.017	0.000	0.000	0.032	0.000	0.000	0.000	0.000	0.038	0.049	0.000	0.049	0.013	0.000	0.000	0.041	0.084
DistanceFromHome	-0.003	0.051	0.050	1.000	0.000	0.000	0.000	0.032	-0.006	0.006	0.060	0.000	0.000	0.032	0.025	0.000	0.028	0.023	0.020	0.000	-0.009	0.080	0.048	0.017	-0.012	0.009	0.017
EducationBackground	0.000	0.102	0.000	0.000	1.000	0.361	0.063	0.052	0.012	0.000	0.088	0.333	0.050	0.000	0.046	0.037	0.000	0.000	0.000	0.000	0.059	0.000	0.009	0.032	0.048	0.000	0.000
EmpDepartment	0.000	0.059	0.000	0.000	0.361	1.000	0.000	0.000	0.000	0.037	0.142	0.975	0.033	0.000	0.053	0.047	0.000	0.000	0.000	0.039	0.023	0.026	0.159	0.000	0.033	0.000	0.000
EmpEducationLevel	0.153	0.000	0.000	0.000	0.063	0.000	1.000	0.000	0.036	0.000	0.087	0.065	0.022	0.016	0.000	0.000	0.076	0.040	0.048	0.000	0.100	0.000	0.024	0.101	0.042	0.000	0.034
EmpEnvironmentSatisfaction	0.062	0.131	0.000	0.032	0.052	0.000	0.000	1.000	0.000	0.040	0.023	0.000	0.000	0.000	0.000	0.000	0.018	0.050	0.000	0.036	0.000	0.058	0.365	0.000	0.000	0.000	0.000
EmpHourlyRate	0.061	0.038	0.000	-0.006	0.012	0.000	0.036	0.000	1.000	0.033	0.000	0.000	0.000	-0.011	0.000	0.000	-0.013	-0.023	0.000	0.000	0.034	0.064	0.062	0.010	-0.013	-0.034	-0.002
EmpJobInvolvement	0.000	0.150	0.040	0.006	0.000	0.037	0.000	0.040	0.033	1.000	0.000	0.036	0.000	0.023	0.000	0.000	0.062	0.003	0.000	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.045
EmpJobLevel	0.295	0.217	0.017	0.060	0.088	0.142	0.087	0.023	0.000	0.000	1.000	0.414	0.000	0.000	0.000	0.000	0.350	0.242	0.048	0.054	0.110	0.000	0.038	0.539	0.000	0.211	0.227
EmpJobRole	0.129	0.163	0.000	0.000	0.333	0.975	0.065	0.000	0.000	0.036	0.414	1.000	0.053	0.007	0.056	0.065	0.129	0.090	0.104	0.000	0.072	0.070	0.160	0.218	0.011	0.031	0.075
EmpJobSatisfaction	0.000	0.081	0.000	0.000	0.050	0.033	0.022	0.000	0.000	0.000	0.000	0.053	1.000	0.000	0.000	0.000	0.000	0.026	0.000	0.000	0.000	0.047	0.049	0.000	0.025	0.000	0.000
EmpLastSalaryHikePercent	0.001	0.000	0.032	0.032	0.000	0.000	0.016	0.000	-0.011	0.023	0.000	0.007	0.000	1.000	0.033	0.000	-0.039	-0.023	0.028	0.000	-0.003	0.000	0.478	-0.016	-0.015	-0.055	-0.018
EmpRelationshipSatisfaction	0.000	0.000	0.000	0.025	0.046	0.053	0.000	0.000	0.000	0.000	0.000	0.056	0.000	0.033	1.000	0.000	0.000	0.000	0.000	0.043	0.000	0.000	0.000	0.000	0.000	0.058	0.000
EmpWorkLifeBalance	0.046	0.079	0.000	0.000	0.037	0.047	0.000	0.000	0.000	0.000	0.000	0.065	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.097	0.034	0.000	0.000	0.038
ExperienceYearsAtThisCompany	0.254	0.184	0.000	0.028	0.000	0.000	0.076	0.018	-0.013	0.062	0.350	0.129	0.000	-0.039	0.000	0.000	1.000	0.870	0.047	0.038	-0.173	0.000	0.103	0.593	0.002	0.520	0.840
ExperienceYearsInCurrentRole	0.203	0.180	0.000	0.023	0.000	0.000	0.040	0.050	-0.023	0.003	0.242	0.090	0.026	-0.023	0.000	0.000	0.870	1.000	0.066	0.052	-0.132	0.061	0.191	0.499	0.014	0.513	0.746
Gender	0.000	0.017	0.038	0.020	0.000	0.000	0.048	0.000	0.000	0.000	0.048	0.104	0.000	0.028	0.000	0.000	0.047	0.066	1.000	0.011	0.000	0.022	0.000	0.027	0.000	0.000	0.000
MaritalStatus	0.133	0.182	0.049	0.000	0.000	0.039	0.000	0.036	0.000	0.024	0.054	0.000	0.000	0.000	0.043	0.000	0.038	0.052	0.011	1.000	0.048	0.000	0.030	0.060	0.008	0.011	0.018
NumCompaniesWorked	0.342	0.110	0.000	-0.009	0.059	0.023	0.100	0.000	0.034	0.000	0.110	0.072	0.000	-0.003	0.000	0.000	-0.173	-0.132	0.000	0.048	1.000	0.000	0.000	0.313	-0.040	-0.064	-0.142
OverTime	0.000	0.220	0.049	0.080	0.000	0.026	0.000	0.058	0.064	0.000	0.000	0.070	0.047	0.000	0.000	0.000	0.000	0.061	0.022	0.000	0.000	1.000	0.088	0.000	0.099	0.000	0.000
PerformanceRating	0.000	0.022	0.013	0.048	0.009	0.159	0.024	0.365	0.062	0.000	0.038	0.160	0.049	0.478	0.000	0.097	0.103	0.191	0.000	0.030	0.000	0.088	1.000	0.063	0.000	0.182	0.131
TotalWorkExperienceInYears	0.652	0.230	0.000	0.017	0.032	0.000	0.101	0.000	0.010	0.000	0.539	0.218	0.000	-0.016	0.000	0.034	0.593	0.499	0.027	0.060	0.313	0.000	0.063	1.000	-0.013	0.342	0.490
TrainingTimesLastYear	0.001	0.032	0.000	-0.012	0.048	0.033	0.042	0.000	-0.013	0.000	0.000	0.011	0.025	-0.015	0.000	0.000	0.002	0.014	0.000	0.008	-0.040	0.099	0.000	-0.013	1.000	0.034	-0.021
YearsSinceLastPromotion	0.187	0.045	0.041	0.009	0.000	0.000	0.000	0.000	-0.034	0.000	0.211	0.031	0.000	-0.055	0.058	0.000	0.520	0.513	0.000	0.011	-0.064	0.000	0.182	0.342	0.034	1.000	0.456
YearsWithCurrManager	0.196	0.179	0.084	0.017	0.000	0.000	0.034	0.000	-0.002	0.045	0.227	0.075	0.000	-0.018	0.000	0.038	0.840	0.746	0.000	0.018	-0.142	0.000	0.131	0.490	-0.021	0.456	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Age	Gender	EducationBackground	MaritalStatus	EmpDepartment	EmpJobRole	BusinessTravelFrequency	DistanceFromHome	EmpEducationLevel	EmpEnvironmentSatisfaction	EmpHourlyRate	EmpJobInvolvement	EmpJobLevel	EmpJobSatisfaction	NumCompaniesWorked	OverTime	EmpLastSalaryHikePercent	EmpRelationshipSatisfaction	TotalWorkExperienceInYears	TrainingTimesLastYear	EmpWorkLifeBalance	ExperienceYearsAtThisCompany	ExperienceYearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager	Attrition	PerformanceRating
0	32	Male	Marketing	Single	Sales	Sales Executive	Travel_Rarely	10	3	4	55	3	2	4	1	No	12	4	10	2	2	10	7	0	8	No	3
1	47	Male	Marketing	Single	Sales	Sales Executive	Travel_Rarely	14	4	4	42	3	2	1	2	No	12	4	20	2	3	7	7	1	7	No	3
2	40	Male	Life Sciences	Married	Sales	Sales Executive	Travel_Frequently	5	4	4	48	2	3	1	5	Yes	21	3	20	2	3	18	13	1	12	No	4
3	41	Male	Human Resources	Divorced	Human Resources	Manager	Travel_Rarely	10	4	2	73	2	5	4	3	No	15	2	23	2	2	21	6	12	6	No	3
4	60	Male	Marketing	Single	Sales	Sales Executive	Travel_Rarely	16	4	1	84	3	2	1	8	No	14	4	10	1	3	2	2	2	2	No	3
5	27	Male	Life Sciences	Divorced	Development	Developer	Travel_Frequently	10	2	4	32	3	3	1	1	No	21	3	9	4	2	9	7	1	7	No	4
6	50	Male	Marketing	Married	Sales	Sales Representative	Travel_Rarely	8	4	4	54	3	1	2	7	No	15	4	4	2	3	2	2	2	2	No	3
7	28	Female	Life Sciences	Single	Development	Developer	Travel_Rarely	1	2	1	67	1	1	2	7	Yes	13	4	10	4	3	7	7	3	7	Yes	3
8	36	Female	Life Sciences	Married	Development	Developer	Non-Travel	8	3	1	63	4	3	1	9	No	14	1	10	2	3	8	7	0	5	No	3
9	38	Female	Life Sciences	Single	Development	Developer	Travel_Rarely	1	3	3	81	3	3	3	4	Yes	14	4	10	4	4	1	0	0	0	No	3

	Age	Gender	EducationBackground	MaritalStatus	EmpDepartment	EmpJobRole	BusinessTravelFrequency	DistanceFromHome	EmpEducationLevel	EmpEnvironmentSatisfaction	EmpHourlyRate	EmpJobInvolvement	EmpJobLevel	EmpJobSatisfaction	NumCompaniesWorked	OverTime	EmpLastSalaryHikePercent	EmpRelationshipSatisfaction	TotalWorkExperienceInYears	TrainingTimesLastYear	EmpWorkLifeBalance	ExperienceYearsAtThisCompany	ExperienceYearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager	Attrition	PerformanceRating
1190	23	Male	Medical	Married	Development	Developer	Travel_Rarely	4	3	1	58	4	1	1	2	No	16	1	5	3	4	3	2	0	2	No	4
1191	25	Male	Life Sciences	Married	Sales	Sales Executive	Travel_Rarely	8	3	4	57	4	2	2	0	No	22	3	4	4	3	3	2	1	2	No	4
1192	38	Female	Marketing	Single	Sales	Sales Executive	Travel_Rarely	7	4	4	46	2	2	4	0	No	20	1	8	2	3	7	7	0	5	No	4
1193	29	Male	Life Sciences	Divorced	Development	Developer	Travel_Frequently	1	4	2	76	1	1	4	1	No	18	4	10	5	3	10	7	2	8	No	3
1194	48	Male	Marketing	Married	Sales	Sales Executive	Travel_Rarely	2	1	2	56	4	2	2	3	No	12	4	12	3	3	2	2	2	2	No	3
1195	27	Female	Medical	Divorced	Sales	Sales Executive	Travel_Frequently	3	1	4	71	4	2	4	1	Yes	20	2	6	3	3	6	5	0	4	No	4
1196	37	Male	Life Sciences	Single	Development	Senior Developer	Travel_Rarely	10	2	4	80	4	1	4	3	No	17	1	4	2	3	1	0	0	0	No	3
1197	50	Male	Medical	Married	Development	Senior Developer	Travel_Rarely	28	1	4	74	4	1	3	1	Yes	11	3	20	3	3	20	8	3	8	No	3
1198	34	Female	Medical	Single	Data Science	Data Scientist	Travel_Rarely	9	3	4	46	2	3	2	1	No	14	2	9	3	4	8	7	7	7	No	3
1199	24	Female	Life Sciences	Single	Sales	Sales Executive	Travel_Rarely	3	2	1	65	3	2	3	9	No	14	1	4	3	3	2	2	2	0	Yes	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values